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Deep learning to frame objects for visual target tracking
dc.contributor.author | Pang, Shuchao | |
dc.contributor.author | Coz Velasco, Juan José del | |
dc.contributor.author | Yu, Z. | |
dc.contributor.author | Luaces Rodríguez, Óscar | |
dc.contributor.author | Díez Peláez, Jorge | |
dc.date.accessioned | 2018-02-06T10:11:12Z | |
dc.date.available | 2018-02-06T10:11:12Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Engineering Applications of Artificial Intelligence, 65, p. 406-420 (2017); doi:10.1016/j.engappai.2017.08.010 | |
dc.identifier.issn | 0952-1976 | |
dc.identifier.uri | http://hdl.handle.net/10651/45431 | |
dc.description.sponsorship | This work was funded by Ministerio de Economía y Competitividad de España (grant TIN2015-65069-C2-2-R), Specialized ResearchFund for the Doctoral Program of Higher Education of China (grant20120061110045) and the Project of Science and Technology Develop-ment Plan of Jilin Province, China (grant 20150204007GX). The work was partially developed while Shuchao Pang was visiting the Universityof Oviedo at Gijón | |
dc.format.extent | p. 406-420 | |
dc.language.iso | eng | |
dc.relation.ispartof | Engineering Applications of Artificial Intelligence, 65 | |
dc.rights | © 2017 Elsevier Ltd. All rights reserved | |
dc.rights | CC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028774207&doi=10.1016%2fj.engappai.2017.08.010&partnerID=40&md5=cef080f35b58e9cdb274e825db6bffed | |
dc.title | Deep learning to frame objects for visual target tracking | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.engappai.2017.08.010 | |
dc.relation.projectID | Ministerio de Economía y Competitividad/TIN2015-65069-C2-2-R | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.engappai.2017.08.010 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | AM |
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